{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "03- Evolution of Selected Token.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyPUUw8FIcUmzmfJ9ve0l85l",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/jalammar/ecco/blob/main/notebooks/Ecco_Evolution_of_Selected_Token.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8yRvbbiMHrz3"
      },
      "source": [
        "!pip install ecco\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZoLhtvPRHs1u"
      },
      "source": [
        "import ecco\n",
        "lm = ecco.from_pretrained('distilgpt2')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ggr5LF8VHurh",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 239
        },
        "outputId": "8ef1116d-dcb3-4ad7-91c7-a78bbad84c69"
      },
      "source": [
        "text= \"The countries of the European Union are:\\n1. Austria\\n2. Belgium\\n3. Bulgaria\\n4.\"\n",
        "\n",
        "output = lm.generate(text, generate=10, do_sample=True)"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html lang=\"en\">\n",
              "<script src=\"https://requirejs.org/docs/release/2.3.6/minified/require.js\"></script>\n",
              "<script>\n",
              "    var ecco_url = 'https://storage.googleapis.com/ml-intro/ecco/'\n",
              "    // var ecco_url = 'http://localhost:8000/ecco/'\n",
              "\n",
              "    if (window.ecco === undefined) window.ecco = {}\n",
              "\n",
              "    requirejs.config({\n",
              "        urlArgs: \"bust=\" + (new Date()).getTime(),\n",
              "        nodeRequire: require,\n",
              "        paths: {\n",
              "            d3: \"https://d3js.org/d3.v5.min\",\n",
              "            \"d3-array\": \"https://d3js.org/d3-array.v2.min\",\n",
              "            jquery: \"https://code.jquery.com/jquery-3.5.1.min\",\n",
              "            // oldEcco: ecco_url + 'ecco',\n",
              "            ecco: ecco_url + 'js/0.0.4/ecco-bundle.min',\n",
              "            xregexp: 'https://cdnjs.cloudflare.com/ajax/libs/xregexp/3.2.0/xregexp-all.min'\n",
              "        }\n",
              "    });\n",
              "    requirejs(['d3'],\n",
              "        function (d3) {\n",
              "            d3.select('#css').attr('href', ecco_url + 'html/styles.css')\n",
              "        })\n",
              "\n",
              "    console.log('Ecco initialize.')\n",
              "</script>\n",
              "\n",
              "<head>\n",
              "    <link id='css' rel=\"stylesheet\" type=\"text/css\">\n",
              "</head>\n"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<script>\n",
              "    // console.log('defining basic')\n",
              "    define('basic', ['d3'],\n",
              "        function (d3) {\n",
              "            return {\n",
              "                init: function (viz_id = null) {\n",
              "\n",
              "                    // console.log('basic init')\n",
              "                    if (viz_id == null){\n",
              "                        viz_id = \"viz_\" + Math.round(Math.random() * 10000000)\n",
              "                    }\n",
              "                    const div = d3.select('#basic').attr('id', viz_id),\n",
              "                        div_parent = d3.select('#' + viz_id).node().parentNode\n",
              "\n",
              "                    // Link to CSS file\n",
              "                    d3.select(div_parent).insert('link')\n",
              "                        .attr('rel', 'stylesheet')\n",
              "                        .attr('type', 'text/css')\n",
              "                        .attr('href', ecco_url + 'html/styles.css')\n",
              "\n",
              "                    return viz_id\n",
              "                }\n",
              "            }\n",
              "        }, function (err) {console.log(err);}\n",
              "    )\n",
              "    // console.log('after defining basic')\n",
              "\n",
              "</script>\n",
              "<div id=\"basic\"></div>\n"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "\n",
              "         requirejs( ['basic', 'ecco'], function(basic, ecco){\n",
              "            basic.init('viz_269098')\n",
              "\n",
              "            window.ecco['viz_269098'] = ecco.renderOutputSequence('viz_269098', {'tokens': [{'token': 'The', 'position': 0, 'token_id': 464, 'type': 'input'}, {'token': ' countries', 'position': 1, 'token_id': 2678, 'type': 'input'}, {'token': ' of', 'position': 2, 'token_id': 286, 'type': 'input'}, {'token': ' the', 'position': 3, 'token_id': 262, 'type': 'input'}, {'token': ' European', 'position': 4, 'token_id': 3427, 'type': 'input'}, {'token': ' Union', 'position': 5, 'token_id': 4479, 'type': 'input'}, {'token': ' are', 'position': 6, 'token_id': 389, 'type': 'input'}, {'token': ':', 'position': 7, 'token_id': 25, 'type': 'input'}, {'token': '\\n', 'position': 8, 'token_id': 198, 'type': 'input'}, {'token': '1', 'position': 9, 'token_id': 16, 'type': 'input'}, {'token': '.', 'position': 10, 'token_id': 13, 'type': 'input'}, {'token': ' Austria', 'position': 11, 'token_id': 17322, 'type': 'input'}, {'token': '\\n', 'position': 12, 'token_id': 198, 'type': 'input'}, {'token': '2', 'position': 13, 'token_id': 17, 'type': 'input'}, {'token': '.', 'position': 14, 'token_id': 13, 'type': 'input'}, {'token': ' Belgium', 'position': 15, 'token_id': 15664, 'type': 'input'}, {'token': '\\n', 'position': 16, 'token_id': 198, 'type': 'input'}, {'token': '3', 'position': 17, 'token_id': 18, 'type': 'input'}, {'token': '.', 'position': 18, 'token_id': 13, 'type': 'input'}, {'token': ' Bulgaria', 'position': 19, 'token_id': 27902, 'type': 'input'}, {'token': '\\n', 'position': 20, 'token_id': 198, 'type': 'input'}, {'token': '4', 'position': 21, 'token_id': 19, 'type': 'input'}, {'token': '.', 'position': 22, 'token_id': 13, 'type': 'input'}]})\n",
              "         }, function (err) {\n",
              "            console.log(err);\n",
              "        })\n"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_269098');\n",
              "                window.ecco['viz_269098'].addToken({\"token\": \" Croatia\", \"token_id\": 28975, \"position\": 23, \"type\": \"output\"})\n",
              "                window.ecco['viz_269098'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_269098');\n",
              "                window.ecco['viz_269098'].addToken({\"token\": \"\\n\", \"token_id\": 198, \"position\": 24, \"type\": \"output\"})\n",
              "                window.ecco['viz_269098'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_269098');\n",
              "                window.ecco['viz_269098'].addToken({\"token\": \"5\", \"token_id\": 20, \"position\": 25, \"type\": \"output\"})\n",
              "                window.ecco['viz_269098'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_269098');\n",
              "                window.ecco['viz_269098'].addToken({\"token\": \".\", \"token_id\": 13, \"position\": 26, \"type\": \"output\"})\n",
              "                window.ecco['viz_269098'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_269098');\n",
              "                window.ecco['viz_269098'].addToken({\"token\": \" Cyprus\", \"token_id\": 27885, \"position\": 27, \"type\": \"output\"})\n",
              "                window.ecco['viz_269098'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_269098');\n",
              "                window.ecco['viz_269098'].addToken({\"token\": \"\\n\", \"token_id\": 198, \"position\": 28, \"type\": \"output\"})\n",
              "                window.ecco['viz_269098'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_269098');\n",
              "                window.ecco['viz_269098'].addToken({\"token\": \"6\", \"token_id\": 21, \"position\": 29, \"type\": \"output\"})\n",
              "                window.ecco['viz_269098'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_269098');\n",
              "                window.ecco['viz_269098'].addToken({\"token\": \".\", \"token_id\": 13, \"position\": 30, \"type\": \"output\"})\n",
              "                window.ecco['viz_269098'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_269098');\n",
              "                window.ecco['viz_269098'].addToken({\"token\": \" Czech\", \"token_id\": 16639, \"position\": 31, \"type\": \"output\"})\n",
              "                window.ecco['viz_269098'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_269098');\n",
              "                window.ecco['viz_269098'].addToken({\"token\": \" Republic\", \"token_id\": 2066, \"position\": 32, \"type\": \"output\"})\n",
              "                window.ecco['viz_269098'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yn0nzNqfH5kC",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "outputId": "43302d2e-a31c-4e83-9108-2a420bd7835f"
      },
      "source": [
        "output.rankings()"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x244.8 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BwnGMmniH6j9"
      },
      "source": [
        "# You can try these input prompts from the GPT2 blog post\r\n",
        "prompt_1 = \"\"\"In a shocking finding, scientist discovered a herd of unicorns living in a remote, previously unexplored valley, in the Andes Mountains. Even more surprising to the researchers was the fact that the unicorns spoke perfect English.\"\"\"\r\n",
        "prompt_2 = \"\"\"A train carriage containing controlled nuclear materials was stolen in Cincinnati today. Its whereabouts are unknown.\"\"\"\r\n",
        "prompt_3 = \"\"\"Legolas and Gimli advanced on the orcs, raising their weapons with a harrowing war cry.\"\"\""
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 207
        },
        "id": "t2ZtpAP6ZARw",
        "outputId": "8b94dc4b-1a2d-4ac7-a9be-2e82a7f982c0"
      },
      "source": [
        "output_1 = lm.generate(prompt_1, generate=50, do_sample=True)"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<html lang=\"en\">\n",
              "<script src=\"https://requirejs.org/docs/release/2.3.6/minified/require.js\"></script>\n",
              "<script>\n",
              "    var ecco_url = 'https://storage.googleapis.com/ml-intro/ecco/'\n",
              "    // var ecco_url = 'http://localhost:8000/ecco/'\n",
              "\n",
              "    if (window.ecco === undefined) window.ecco = {}\n",
              "\n",
              "    requirejs.config({\n",
              "        urlArgs: \"bust=\" + (new Date()).getTime(),\n",
              "        nodeRequire: require,\n",
              "        paths: {\n",
              "            d3: \"https://d3js.org/d3.v5.min\",\n",
              "            \"d3-array\": \"https://d3js.org/d3-array.v2.min\",\n",
              "            jquery: \"https://code.jquery.com/jquery-3.5.1.min\",\n",
              "            // oldEcco: ecco_url + 'ecco',\n",
              "            ecco: ecco_url + 'js/0.0.4/ecco-bundle.min',\n",
              "            xregexp: 'https://cdnjs.cloudflare.com/ajax/libs/xregexp/3.2.0/xregexp-all.min'\n",
              "        }\n",
              "    });\n",
              "    requirejs(['d3'],\n",
              "        function (d3) {\n",
              "            d3.select('#css').attr('href', ecco_url + 'html/styles.css')\n",
              "        })\n",
              "\n",
              "    console.log('Ecco initialize.')\n",
              "</script>\n",
              "\n",
              "<head>\n",
              "    <link id='css' rel=\"stylesheet\" type=\"text/css\">\n",
              "</head>\n"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<script>\n",
              "    // console.log('defining basic')\n",
              "    define('basic', ['d3'],\n",
              "        function (d3) {\n",
              "            return {\n",
              "                init: function (viz_id = null) {\n",
              "\n",
              "                    // console.log('basic init')\n",
              "                    if (viz_id == null){\n",
              "                        viz_id = \"viz_\" + Math.round(Math.random() * 10000000)\n",
              "                    }\n",
              "                    const div = d3.select('#basic').attr('id', viz_id),\n",
              "                        div_parent = d3.select('#' + viz_id).node().parentNode\n",
              "\n",
              "                    // Link to CSS file\n",
              "                    d3.select(div_parent).insert('link')\n",
              "                        .attr('rel', 'stylesheet')\n",
              "                        .attr('type', 'text/css')\n",
              "                        .attr('href', ecco_url + 'html/styles.css')\n",
              "\n",
              "                    return viz_id\n",
              "                }\n",
              "            }\n",
              "        }, function (err) {console.log(err);}\n",
              "    )\n",
              "    // console.log('after defining basic')\n",
              "\n",
              "</script>\n",
              "<div id=\"basic\"></div>\n"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "\n",
              "         requirejs( ['basic', 'ecco'], function(basic, ecco){\n",
              "            basic.init('viz_8067')\n",
              "\n",
              "            window.ecco['viz_8067'] = ecco.renderOutputSequence('viz_8067', {'tokens': [{'token': 'In', 'position': 0, 'token_id': 818, 'type': 'input'}, {'token': ' a', 'position': 1, 'token_id': 257, 'type': 'input'}, {'token': ' shocking', 'position': 2, 'token_id': 14702, 'type': 'input'}, {'token': ' finding', 'position': 3, 'token_id': 4917, 'type': 'input'}, {'token': ',', 'position': 4, 'token_id': 11, 'type': 'input'}, {'token': ' scientist', 'position': 5, 'token_id': 11444, 'type': 'input'}, {'token': ' discovered', 'position': 6, 'token_id': 5071, 'type': 'input'}, {'token': ' a', 'position': 7, 'token_id': 257, 'type': 'input'}, {'token': ' herd', 'position': 8, 'token_id': 27638, 'type': 'input'}, {'token': ' of', 'position': 9, 'token_id': 286, 'type': 'input'}, {'token': ' unic', 'position': 10, 'token_id': 28000, 'type': 'input'}, {'token': 'orns', 'position': 11, 'token_id': 19942, 'type': 'input'}, {'token': ' living', 'position': 12, 'token_id': 2877, 'type': 'input'}, {'token': ' in', 'position': 13, 'token_id': 287, 'type': 'input'}, {'token': ' a', 'position': 14, 'token_id': 257, 'type': 'input'}, {'token': ' remote', 'position': 15, 'token_id': 6569, 'type': 'input'}, {'token': ',', 'position': 16, 'token_id': 11, 'type': 'input'}, {'token': ' previously', 'position': 17, 'token_id': 4271, 'type': 'input'}, {'token': ' unexpl', 'position': 18, 'token_id': 31286, 'type': 'input'}, {'token': 'ored', 'position': 19, 'token_id': 1850, 'type': 'input'}, {'token': ' valley', 'position': 20, 'token_id': 19272, 'type': 'input'}, {'token': ',', 'position': 21, 'token_id': 11, 'type': 'input'}, {'token': ' in', 'position': 22, 'token_id': 287, 'type': 'input'}, {'token': ' the', 'position': 23, 'token_id': 262, 'type': 'input'}, {'token': ' And', 'position': 24, 'token_id': 843, 'type': 'input'}, {'token': 'es', 'position': 25, 'token_id': 274, 'type': 'input'}, {'token': ' Mountains', 'position': 26, 'token_id': 21124, 'type': 'input'}, {'token': '.', 'position': 27, 'token_id': 13, 'type': 'input'}, {'token': ' Even', 'position': 28, 'token_id': 3412, 'type': 'input'}, {'token': ' more', 'position': 29, 'token_id': 517, 'type': 'input'}, {'token': ' surprising', 'position': 30, 'token_id': 6452, 'type': 'input'}, {'token': ' to', 'position': 31, 'token_id': 284, 'type': 'input'}, {'token': ' the', 'position': 32, 'token_id': 262, 'type': 'input'}, {'token': ' researchers', 'position': 33, 'token_id': 4837, 'type': 'input'}, {'token': ' was', 'position': 34, 'token_id': 373, 'type': 'input'}, {'token': ' the', 'position': 35, 'token_id': 262, 'type': 'input'}, {'token': ' fact', 'position': 36, 'token_id': 1109, 'type': 'input'}, {'token': ' that', 'position': 37, 'token_id': 326, 'type': 'input'}, {'token': ' the', 'position': 38, 'token_id': 262, 'type': 'input'}, {'token': ' unic', 'position': 39, 'token_id': 28000, 'type': 'input'}, {'token': 'orns', 'position': 40, 'token_id': 19942, 'type': 'input'}, {'token': ' spoke', 'position': 41, 'token_id': 5158, 'type': 'input'}, {'token': ' perfect', 'position': 42, 'token_id': 2818, 'type': 'input'}, {'token': ' English', 'position': 43, 'token_id': 3594, 'type': 'input'}, {'token': '.', 'position': 44, 'token_id': 13, 'type': 'input'}]})\n",
              "         }, function (err) {\n",
              "            console.log(err);\n",
              "        })\n"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" It\", \"token_id\": 632, \"position\": 45, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" is\", \"token_id\": 318, \"position\": 46, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
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              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \",\", \"token_id\": 11, \"position\": 47, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" they\", \"token_id\": 484, \"position\": 48, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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              "        "
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          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" say\", \"token_id\": 910, \"position\": 49, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
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        {
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          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \",\", \"token_id\": 11, \"position\": 50, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
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          "data": {
            "application/javascript": [
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              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" \\\"\", \"token_id\": 366, \"position\": 51, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
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        },
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          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \"English\", \"token_id\": 15823, \"position\": 52, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \".\\\"\", \"token_id\": 526, \"position\": 53, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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        {
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              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \"\\n\", \"token_id\": 198, \"position\": 54, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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        },
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              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \"The\", \"token_id\": 464, \"position\": 55, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" study\", \"token_id\": 2050, \"position\": 56, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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              "        "
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        },
        {
          "output_type": "display_data",
          "data": {
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              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \"\\u2014\", \"token_id\": 960, \"position\": 57, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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              "        "
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        {
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              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \"an\", \"token_id\": 272, \"position\": 58, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" unusual\", \"token_id\": 8468, \"position\": 59, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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        },
        {
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              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" approach\", \"token_id\": 3164, \"position\": 60, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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        },
        {
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              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" in\", \"token_id\": 287, \"position\": 61, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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              "        "
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        },
        {
          "output_type": "display_data",
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              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" anthropology\", \"token_id\": 45424, \"position\": 62, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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        {
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              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \"\\u2014\", \"token_id\": 960, \"position\": 63, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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        {
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              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \"has\", \"token_id\": 10134, \"position\": 64, \"type\": \"output\"})\n",
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        },
        {
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              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" put\", \"token_id\": 1234, \"position\": 65, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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        },
        {
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              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" many\", \"token_id\": 867, \"position\": 66, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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        },
        {
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              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" scientific\", \"token_id\": 5654, \"position\": 67, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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              "        "
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        },
        {
          "output_type": "display_data",
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              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" institutions\", \"token_id\": 6712, \"position\": 68, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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              "        "
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        },
        {
          "output_type": "display_data",
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            "application/javascript": [
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              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" and\", \"token_id\": 290, \"position\": 69, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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              "        "
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        },
        {
          "output_type": "display_data",
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              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" private\", \"token_id\": 2839, \"position\": 70, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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        },
        {
          "output_type": "display_data",
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              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" companies\", \"token_id\": 2706, \"position\": 71, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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        },
        {
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              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" and\", \"token_id\": 290, \"position\": 72, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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        },
        {
          "output_type": "display_data",
          "data": {
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              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" individuals\", \"token_id\": 3925, \"position\": 73, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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              "        "
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            "text/plain": [
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        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" behind\", \"token_id\": 2157, \"position\": 74, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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              "        "
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            "text/plain": [
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        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" the\", \"token_id\": 262, \"position\": 75, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
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              "        "
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            "text/plain": [
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        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" scenes\", \"token_id\": 8188, \"position\": 76, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" of\", \"token_id\": 286, \"position\": 77, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" research\", \"token_id\": 2267, \"position\": 78, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" that\", \"token_id\": 326, \"position\": 79, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" is\", \"token_id\": 318, \"position\": 80, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" important\", \"token_id\": 1593, \"position\": 81, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" to\", \"token_id\": 284, \"position\": 82, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" their\", \"token_id\": 511, \"position\": 83, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" students\", \"token_id\": 2444, \"position\": 84, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \".\", \"token_id\": 13, \"position\": 85, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \"\\n\", \"token_id\": 198, \"position\": 86, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \"\\\"\", \"token_id\": 1, \"position\": 87, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \"It\", \"token_id\": 1026, \"position\": 88, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" is\", \"token_id\": 318, \"position\": 89, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" very\", \"token_id\": 845, \"position\": 90, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" clear\", \"token_id\": 1598, \"position\": 91, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" that\", \"token_id\": 326, \"position\": 92, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" English\", \"token_id\": 3594, \"position\": 93, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "        // We don't really need these require scripts. But this is to avert\n",
              "        //this code from running before display_input_sequence which DOES require external files\n",
              "        requirejs(['basic', 'ecco'], function(basic, ecco){\n",
              "                console.log('addToken viz_id', 'viz_8067');\n",
              "                window.ecco['viz_8067'].addToken({\"token\": \" has\", \"token_id\": 468, \"position\": 94, \"type\": \"output\"})\n",
              "                window.ecco['viz_8067'].redraw()\n",
              "        })\n",
              "        "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 213
        },
        "id": "Ph5_ulU3ZFGK",
        "outputId": "226ed6a5-efeb-4cc6-a987-ff43400953a7"
      },
      "source": [
        "output_1.rankings()"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 3312x244.8 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4Gcfre8fZMMT"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}